Welcome &
Introduction to Introduction to machine learning in Python

Introductions

Tiffany Timbers
University of British Columbia

Daniel Chen
University of British Columbia

Introduce yourself

We wont go around the room, but take the next couple of minutes to introduce yourself to your neighbors.

Some suggested topics:

  • What is your name

  • Where you are coming from

  • Why you are interested in learning ML in Python

Materials



Website:

https://posit-conf-2024.github.io/ml-python/

GitHub:

https://github.com/posit-conf-2024/ml-python

Schedule

Time Activity
09:00 - 10:30 Session 1 - Introduction to workshop and intro to machine learning (via Classification I)
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2 - Classification II
12:30 - 13:30 Lunch break
13:30 - 15:00 Session 3 - Regression
15:00 - 15:30 Coffee break
15:30 - 17:00 Session 4 - Tree-based and ensemble methods

WiFi


Username:

Posit Conf 2024

Password:

conf2024


If you have any difficulty with your connection please let us (myself and or the TAs) know so we can escalate issues if needed.

Code of Conduct

The Code of Conduct can be found at posit.co/code-of-conduct.

Please review it carefully.

You can report Code of Conduct violations in person, by email, or by phone.

Please see the policy linked above for contact information.

Other useful info

  • There are gender-neutral bathrooms located on floors 3, 4, 5, 6, and 7.

  • The meditation and prayer room is Room 503, it is available Mon & Tues 7am - 7pm, and Wed 7am - 5pm.

  • The lactation room is located in 509, with the same timings as above.

  • Participants who do not wish to be photographed have red lanyards; please note everyone’s lanyard colors before taking a photo and respect their choices.

Asking for help (Stickies)

I’m working

I’m stuck

I’m done

Other communication (Discord)

You should have received an email with an invitation and instructions for joining the conference’s discord server.

This workshop has a private channel under Workshops,

#workshop-ml-python

This is a great place to ask questions, post resources, memes, or most anything else before, during, and after the workshop.

Computational Environment

RStudio Cloud

Link in your welcome email (from last night!) and/or discord (pinned/first comment)

Once you have joined you’re ready to go! We will work with these at the end of each lecture component.

which should then create a copy of all materials and launch a cloud session for you.

Cloud session

If everything is working you should see something very close to the following,